Antolik and Davison 2013 | Antolik, J. and Davison, A.P. | Integrated workflows for spiking neuronal network simulations | Front. Neuroinform. (2013) 7:34 doi:10.3389/fninf.2013.00034 |
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Djurfeldt et al. 2014 | Djurfeldt, M., Davison, A.P. and Eppler, J.M. | Efficient generation of connectivity in neuronal networks from simulator-independent descriptions | Front. Neuroinform. (2014) 8:43 doi:10.3389/fninf.2014.00043 |
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Garcia et al. 2014 | Garcia, S., Guarino, D., Jaillet, F., Jennings, T.R., Pröpper, R., Rautenberg, P.L., Rodgers, C., Sobolev, A., Wachtler, T., Yger, P. and Davison, A.P. | Neo: an object model for handling electrophysiology data in multiple formats | Front. Neuroinform. (2014) 8:10 doi:10.3389/fninf.2014.00010 |
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Vella et al. 2014 | Vella, M., Cannon, R.C., Crook, S., Davison, A.P., Ganapathy, G., Robinson, H.P.C., Silver, R.A. and Gleeson, P. | libNeuroML and PyLEMS: using Python to combine procedural and declarative modelling approaches in computational neuroscience | Frontiers in Neuroinformatics (2014) 8: 38 doi:10.3389/fninf.2014.00038 |
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Davison et al. 2014 | Davison, A.P., Mattioni, M., Samarkanov, D. and Telenczuk, B. | Sumatra: A Toolkit for Reproducible Research | In: Implementing Reproducible Research (2014), edited by V. Stodden, F. Leisch and R.D. Peng, Chapman & Hall/CRC: Boca Raton, Florida., pp. 57-79 | abstract |
Antolik and Davison 2013b | Antolik, J. and Davison, A.P. | Mozaik: a framework for model construction, simulation, data analysis and visualization for large-scale spiking neural circuit models | Neuroinformatics 2013, Stockholm, Sweden, August (2013) doi:10.3389/conf.fninf.2013.09.00018 |
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Davison et al. 2013 | Davison, A.P., Djurfeldt, M., Eppler, J.M., Gleeson, P., Hull, M. and Muller, E.B. | An integration layer for neural simulation: PyNN in the software forest | Neuroinformatics 2013, Stockholm, Sweden, August (2013). doi:10.3389/conf.fninf.2013.09.00020 |
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Davison et al. 2013b | Davison, A.P., Brizzi, T., Guarino, D., Manette, O.F., Monier, C., Sadoc, G. and Frégnac, Y. | Helmholtz: a customizable framework for neurophysiology data management | Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013) doi:10.3389/conf.fninf.2013.09.00025 |
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Plesser et al. 2011 | Plesser, H.E., Crook, S. and Davison, A.P. | Reproducible models and reliable simulations: Current trends in computational neuroscience | SIAM Computational Science and Engineering 2011, Reno, Nevada, February 2011 | |
Teeters et al. 2013 | Teeters, J.L., Benda, J., Davison, A.P., Eglen, S., Gerhard, S., Gerkin, R.C., Grewe, J., Harris, K., Jackson, T., Moucek, R., Pröpper, R., Sessions, H.L., Smith, L.S., Sobolev, A., Sommer, F.T., Stoewer, A. and Wachtler, T. | Considerations for developing a standard for storing electrophysiology data in HDF5 | Neuroinformatics 2013, Stockholm, Sweden, 27 Aug - 29 Aug, (2013) doi:10.3389/conf.fninf.2013.09.00069 |
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